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This project is a complete Churn Prediction System built with FastAPI, XGBoost, and CatBoost. It exposes a REST API endpoint that accepts customer data and returns the probability of the customer exiting the bank (churning).

The system includes a full machine learning lifecycle: from data preprocessing and feature engineering to model tuning and deployment.

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